All Use Cases
Product & UX Research

Collect Feature Requests by Video

Embed a Video Magnet widget in your app. Users record video showing exactly what they need and why, with screen recording for full context. AI transcribes, summarizes, and categorizes every request.

Requests shown, not just described
MagnetMagnet
Video FormsVideo Forms
AI Analysis
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Sound familiar?

“Text requests lack context. You build what users say they want, but not what they actually need.”
Video Magnet embedded directly inside your product
Screen recording shows the actual workflow pain
AI keywords and categories on every request
Room to close the loop when feature ships

Step by step guide

Collect Feature Requests by Video, step by step

01
EmbedMagnetMagnet

Place Video Magnet in your product

Add a "Request a Feature" Video Magnet widget inside your app. Users see a small, non-intrusive button and can record a video showing what they want and why, with context captured naturally.

Choose a display type: chat button (least intrusive), popup, or inline widget

Customize button text, colors, and icon to match your product, so users see it as part of your app, not a third-party tool

Use a time-on-page trigger: "Have an idea? We'd love to hear it!" shows after a user spends 30 seconds on a feature page

yourwebsite.com/pricing

Hey! Got a minute to share feedback?

02
CollectMagnetMagnet

Users show what they need

Users share their screen and walk you through their current workflow, showing exactly where the friction is. "I do this 50 times a day and it takes 5 clicks each time."

Video recording captures facial expressions: genuine excitement about a feature idea vs. mild interest is visible

Screen recording shows the exact page, workflow, and context where the feature would help, with no ambiguity

Users can also type text or upload mockups/screenshots alongside video for multi-media requests

yourwebsite.com/pricing

Hey! Got a minute to share feedback?

03
PrioritizeAI Analysis

AI categorizes every request

AI transcribes all requests, extracts keywords, and labels sentiment, so you can see how strongly users feel about each request. Data replaces gut feeling in your product roadmap decisions.

Search transcripts for "bulk export" to see every user who asked for it this month

Sentiment labels add weight: a request from 5 frustrated users can matter more than one from 20 neutral users

AI Analysis: "Categorize requests as: UX improvement, missing feature, performance issue, integration request", with tags applied automatically

Zapier or webhooks push categorized requests to your product management tool (Notion, Linear, Productboard) with transcript and category

AI Analysis
Complete
ER
Emily R.
45% Positive
0:47
Positive45%
Neutral30%
Negative25%
navigationloading speeddark modemobilesearch
04
Close loopRoomRoom

Tell them you built it via Room

When you ship the feature, send a personal Room video to the users who requested it. They feel heard, valued, and become your strongest advocates.

"Hey, you asked for bulk export 3 months ago. We built it! Here, let me show you how it works..." + screen share demo

They reply with a thank-you video → you now have an authentic testimonial about how responsive your team is

Pro Tip

These "we built what you asked for" moments are testimonial gold. Ask permission to use their thank-you video on your website. Many will gladly say yes, and Showcase can publish it on a testimonial wall.

ER
Emily R.
Power User
Active
ER
0:47
Video message
TW
0:23 · Voice reply
Type a message...

Ready to run your first feature request collection?

Try It Free, No Credit Card

Connect with your existing tools

Automatically route responses to your CRM, project management, and communication tools.

Zapier5,000+ app automations
WebhookHTTP event notifications
MakeVisual workflow builder
EmailAuto-notify on submission
APIRESTful API access

Frequently Asked Questions

Why collect feature requests with video instead of a text form?+
Video requests carry context that text can't. A customer explaining "I need to be able to do X because my workflow does Y" in their own words (with their screen visible) gives your product team the use-case depth to build the right thing, not just the requested feature.
How does AI help prioritize feature requests from video?+
RecRam AI transcribes all video requests and extracts keyword themes. You can instantly see which features appear most frequently, which customer segments are requesting them, and what emotional intensity surrounds each request, without watching every video.
Can customers vote on each other's feature requests?+
RecRam focuses on rich qualitative collection rather than public voting boards. For voting, pair RecRam with a tool like Canny or ProductBoard. Use RecRam to collect the initial video context, then log it to your roadmap tool via Zapier.
How do I get customers to submit video feature requests?+
The easiest path: embed a RecRam Magnet widget on your product's feedback page or in your app. Users click the widget, record a 2-minute explanation, and submit. No new tab, no email. The video goes directly to your RecRam workspace.

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